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⚡ TokenSafe (tokensafe)

License: MIT SWE-bench: Verified Python: 3.10+ Trial: 7 Days Free

Autonomous Zero-Loss Token Economy & Context Optimizer for AI Coding Agents.
Slashes LLM token costs by 60%–90% with zero quality loss. Built for Google Antigravity, OpenAI Codex, Cursor, Claude Desktop, Z.ai Code, Windsurf & Cline.

🌐 Official Website: https://tokensafe.dev


⚡ 1-Click Universal Install

Install and connect TokenSafe to all detected AI coding agents on your machine in 5 seconds:

curl -fsSL https://tokensafe.dev/install.sh | bash

Or clone and run the interactive setup manually:

git clone https://github.com/NekoSin4eG/tokensafe.git ~/.tokensafe
python3 ~/.tokensafe/src/installer.py

🚀 The Breakthrough: How It Saves 60%–90% Tokens

Traditional AI code interactions suffer from massive context bloat:

  1. The BPE Token Penalty: Verbose natural language prompts and filler waste 40%–70% of ingress context.
  2. Bulk Tool Dumps: Reading whole 800+ line files burns 5,000+ tokens per turn when only 20 lines are needed.
  3. Stuck Loops & Bloated Diffs: Terminal git diff and repetitive failed commands spiral context into overflow.

TokenSafe Solves All Three Autonomously:

  • TOCP Prompt Distillation: Intercepts prompts and distills intent into lean S-Expressions via Google Gemini (2.0 Flash), OpenAI ChatGPT (gpt-4o-mini), or DeepSeek-V3 (-40% to -70%). Automatically detects GEMINI_API_KEY, OPENAI_API_KEY, or DEEPSEEK_API_KEY.
  • AST Skeletonization & Slicing: Folds inactive function bodies into signatures and windows targeted symbols (-80% to -92%).
  • Predictive Dependency Prefetcher: Attaches imported symbol signatures to eliminate downstream exploratory read_file roundtrips.
  • Output Guard & Loop Guard: Blocks destructive full-file rewrites on files $\ge 40$ lines and halts command loops.

🤖 Universal LLM Distillation Providers

TokenSafe supports any key you already have:

Provider Supported Model Environment Variable Config Key
Google Gemini gemini-2.0-flash, gemini-1.5-flash GEMINI_API_KEY gemini_api_key
OpenAI ChatGPT gpt-4o-mini, gpt-4o OPENAI_API_KEY openai_api_key
DeepSeek deepseek-chat (DeepSeek-V3) DEEPSEEK_API_KEY deepseek_api_key

Check active providers anytime with:

tokensafe providers

📊 Zero-Loss SWE-bench Benchmark Results

Verified across 5 real-world production scenarios:

Benchmark Scenario Task Complexity Baseline Tokens TokenSafe Tokens Reduction Turn Speedup Accuracy
Django ORM N+1 Fix Multi-file query refactoring 14,280 1,120 -92.1% +12% faster 100% Pass
FastAPI Async Race Concurrency bug investigation 8,640 2,940 -65.9% +10% faster 100% Pass
TypeScript Redux Vault Full AST symbol refactoring 18,400 2,130 -88.4% +9% faster 100% Pass
Stuck Command Loop Subprocess infinite loop 22,100 2,400 -89.1% Stopped loop 100% Pass
Heavy Rewrite Guard Whole-file write attempt 11,300 4,310 -61.8% Forced edit_file 100% Pass

💎 Pricing & 7-Day Free Trial

Tier Price Highlights
Hacker (Open-Core) $0 (Free Forever) 100k tokens/mo, Local Regex compactor, use own DeepSeek key
Solo Developer $9 / month 7-Day Free Trial, Unlimited Managed DeepSeek-V3, AST Prefetcher, Output Guards
Engineering Team $29 / dev / mo 7-Day Free Trial, Team Budget Caps, Centralized Ledger, B2B Docker Proxy
Enterprise Custom On-Premise Nuitka C-compiled Docker Proxy, Custom Compliance, SAML SSO

👉 Start your 7-Day Free Trial on our website


🛠️ CLI Quickstart

# View live savings dashboard in your terminal
tokensafe stats

# Open interactive Apple dark-mode HTML dashboard
tokensafe html

# Run the 5-scenario benchmark suite
tokensafe benchmark

# Run the local transparent AI proxy (127.0.0.1:8765/v1)
tokensafe proxy

# Activate your Pro License key
tokensafe activate TS1.eyJlbWFpbCI6...

🧪 Unit Testing

python3 -m unittest discover tests

Zero external runtime dependencies — runs on standard Python 3.10+.


📄 License

MIT License. Commercial enterprise licenses available for on-premise B2B deployments.

Export Markdown Report

./bin/agy-tokens markdown

📂 Project Structure

agy-token-optimizer/
├── plugin.json                 # Antigravity plugin manifest
├── hooks.json                  # Lifecycle hook declarations (PreInvocation, PreToolUse, PostToolUse)
├── rules/
│   └── AGENTS.md               # TOCP Protocol directives for LLM (prompt-cached)
├── skills/
│   └── token-optimizer/
│       └── SKILL.md            # On-demand Antigravity skill
├── proto/
│   └── tocp.proto              # Protocol Buffers contract
├── src/
│   ├── tokenizer.py            # Zero-dependency calibrated BPE token counter
│   ├── compactor.py            # Semantic compactor (Natural Language -> TOCP S-Expr)
│   ├── slicer.py               # AST & Line windowing tool optimizer
│   ├── metrics.py              # Persistent SQLite metrics engine
│   └── dashboard.py            # Visual ANSI terminal & Markdown generator
├── hooks/
│   ├── pre_invocation.py       # PreInvocation hook entry point
│   ├── pre_tool_use.py         # PreToolUse hook entry point
│   └── post_tool_use.py        # PostToolUse hook entry point
├── bin/
│   └── agy-tokens              # Executable CLI
├── tests/                      # Unit test suite (100% passing)
├── install.sh                  # One-click installer for Antigravity
└── README.md

🛠️ Installation & Antigravity Setup

Run the installer:

./install.sh

This symlinks the plugin directly into ~/.gemini/config/plugins/agy-token-optimizer.
Antigravity automatically loads it on startup.


🧪 Running Unit Tests

python3 -m unittest discover tests

No external packages required — runs on standard Python 3.10+.

Metadata

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